Abstract not found

Abstract. Online social networks (OSNs) are immensely popular, but participants are increasingly uneasy with centralized services ’ handling of user data. Decentralized OSNs offer the potential to address user’s anxiety while also enhancing the features and scalability offered by existing, centralized services. In this paper, we present Confidant, a decentralized OSN designed to support a scalable application framework for OSN data without compromising users ’ privacy. Confidant replicates a user’s data on servers controlled by her friends. Because data is stored on trusted servers, Confidant allows application code to run directly on these storage servers. To manage access-control policies under weaklyconsistent replication, Confidant eliminates write conflicts through a lightweight cloud-based state manager and through a simple mechanism for updating the bindings between access policies and replicated data. Keywords: Decentralization, Onlie Social Networks, Peer-to-peer, Cloud 1

Storage on Network has, always, been a key feature of the success of the network design. Various methods are in practice. Two techniques are suggested in this paper. Disk Clustering and a technique to have Uniform namespace KINDFS is a distributed file storage system designed to provide cost-effective storage service utilizing idle disk space on workstation clusters. The system responsibilities are evenly distributed across a group of collaborating workstations; the proposed architecture provides improved performance, reliability and scalability. Workstation uptime data varies from system to system. KINDFS prototype implementation and measurement of its performance is suggested. Preliminary results indicate that KINDFS performance is comparable to that of commonly used distributed file systems, such as NFS, Samba and Windows 2000 Server.